您对上述数据结构的弹性搜索索引映射应该是：
映射
{
"mappings": {
"properties": {
"did_user_read": {
"type": "boolean"
},
"view_info": {
"properties": {
"total": {
"type": "integer"
},
"users": {
"properties": {
"name": {
"type": "text"
},
"read_at": {
"type": "date",
"format": "date_hour_minute_second"
},
"is_current_user": {
"type": "boolean"
}
}
}
}
},
"is_favorite": {
"type": "boolean"
},
"has_attachments": {
"type": "boolean"
},
"from": {
"properties": {
"short_name": {
"type": "text"
},
"full_name": {
"type": "text"
},
"email": {
"type": "keyword"
},
"is_current_user": {
"type": "boolean"
}
}
},
"subject": {
"type": "text"
},
"received_at": {
"type": "date",
"format": "date_hour_minute_second"
}
}
}
}
现在我已经按照您在示例中给出的相同格式索引了一些文档。
基于询问条件的搜索查询应该是：
搜索查询：
{
"query": {
"bool": {
"filter": [
{
"term": {
"is_favorite": false
}
},
{
"term": {
"view_info.users.is_current_user": true
}
}
],
"must": {
"multi_match": {
"query": "sam jackson",
"fields": [
"view_info.users.name",
"from.full_name",
"from.short_name"
]
}
}
}
},
"sort": [
{
"received_at": {
"order": "desc"
}
}
]
}
输出
"hits": [
{
"_index": "topics",
"_type": "_doc",
"_id": "3",
"_score": null,
"_source": {
"did_user_read": true,
"view_info": {
"total": 1,
"users": [
{
"name": "John Smith",
"read_at": "2020-02-04T11:00:01",
"is_current_user": false
},
{
"name": "Samuel Jackson",
"read_at": "2020-02-04T11:00:01",
"is_current_user": true
}
]
},
"is_favorite": false,
"has_attachments": true,
"from": {
"short_name": "You",
"full_name": "Chuck Norris",
"email": "ch.norris@example.com",
"is_current_user": true
},
"subject": "The secret of the appearance of navel lints",
"received_at": "2020-02-04T11:00:03"
},
"sort": [
1580814003000
]
},
{
"_index": "topics",
"_type": "_doc",
"_id": "2",
"_score": null,
"_source": {
"did_user_read": true,
"view_info": {
"total": 1,
"users": [
{
"name": "John Smith",
"read_at": "2020-02-04T11:00:01",
"is_current_user": false
},
{
"name": "Samuel Jackson",
"read_at": "2020-02-04T11:00:01",
"is_current_user": true
}
]
},
"is_favorite": false,
"has_attachments": true,
"from": {
"short_name": "You",
"full_name": "Chuck Norris",
"email": "ch.norris@example.com",
"is_current_user": true
},
"subject": "The secret of the appearance of navel lints",
"received_at": "2020-02-04T11:00:01"
},
"sort": [
1580814001000
]
}
]
解释：
根据您的查询，这是构建搜索查询的方式：
-
is_favorite IS false and users.is_current_user IS NOT false
这是在 filter 查询的帮助下完成的。当我们希望我们的文档满足某些条件但它们对计算搜索文档的分数没有贡献时，使用过滤器。现在，由于两个查询字段都是布尔值，它们不会参与计算得分，因为答案是是或否。
-
FULL_TEXT_SEARCH("sam jackson")
BY FIELDS
users.name, -- inside of array(!)
from.full_name,
from.short_name
在这里我们要搜索sam jackson，它们应该在所有 3 个字段中，所以
使用match_phrase。
这三个条件保留在bool 过滤器中，因为有AND 条件加入它们
注意：您必须更改存在日期时间的数据，例如 read_at, received_at 。目前，您采用的格式为 2020-02-04 11:00:01 。您只需稍作更改，以便在 elasticsearch 中索引文档时采用格式 2020-02-04T11:00:01（而不是空间使用 T），因为 elasticsearch 仅接受一组日期时间格式。您可以在此处参考日期时间接受的格式https://www.elastic.co/guide/en/elasticsearch/reference/current/mapping-date-format.html